
\begin{table}[ht]
\scriptsize
\caption{Results from the models used to estimate the effects in \Cref{fig:fg7}}\label{tab:fg7}
\begin{center}
\begin{tabular}{lccccccccc}
\hline\hline
 & \multicolumn{4}{c}{Democratic Appointees} & & \multicolumn{4}{c}{Republican Appointees}\\\cline{2-5}\cline{7-10}
 & (1) & (2) & (3) & (4) &  & (5) & (6) & (7) & (8)\\
\hline
Judges of Color & --0.01 & --0.008 & --- & --- &  & --0.007 & --0.014 & --- & ---\\
 & (0.013) & (0.012) &  &  &  & (0.008) & (0.012) &  & \\
Women & --- & --- & 0.003 & 0.012 &  & --- & --- & --0.027** & --0.011\\
 &  &  & (0.009) & (0.01) &  &  &  & (0.009) & (0.011)\\
\hline
Outcome & Stlmt. & Stlmt. & Stlmt. & Stlmt. &  & Stlmt. & Stlmt. & Stlmt. & Stlmt.\\
Cases & 23,532 & 22,191 & 51,273 & 31,821 &  & 25,071 & 18,725 & 46,057 & 29,315\\
Treatment Judges & 84 & 86 & 100 & 99 &  & 46 & 49 & 53 & 52\\
Control Judges & 115 & 106 & 123 & 122 &  & 137 & 133 & 153 & 149\\
Randomization Blocks & \checkmark & \checkmark & \checkmark & \checkmark &  & \checkmark & \checkmark & \checkmark & \checkmark\\
Min. Units/Trt. Arm & 5 & 5 & 5 & 5 &  & 5 & 5 & 5 & 5\\
Appt. Pres. Controls &  &  &  &  &  &  &  &  & \\
Pltf. Shares Identity & No & Yes & No & Yes &  & No & Yes & No & Yes\\
Race Coding & w & w &  &  &  & w & w &  & \\
\hline\hline
\end{tabular}
\end{center}
{\scriptsize \textit{Notes:} All models include district-division-year fixed effects, which we refer to as our ``randomization blocks.'' We also use an adjustment proposed by Lin (2013) for all control variables (see main text). Standard errors are clustered by judge. Statistical significance is indicated by stars: * $p$ < 0.05, ** $p$ < 0.01 and *** $p$ < 0.001. ``Pltf. Shares Identity'' indicates whether the analysis is on subset of cases in which the plaintiff(s) share the identity of the treatment judges, or not. ``Race Coding'' indicates which package was used to predict plaintiff race: ``w'' is \texttt{wru} and ``p'' is \texttt{predict race}. For plaintiff gender we use the \texttt{gender} package.}
\end{table}
